served from maproom.meteorwanda.gov.rw
∂T root mean sq anom ∂T ∂Y [ Rwanda Dekad climatologies rfe ] : ∂T ∂T ∂Y Rainfall Dekad Climatology 1981-2010 data
Rwanda Dekad climatologies rfe partial_Y partial_Y partial_Y partial_T partial_T ∂T ∂T ∂Y Rainfall Dekad Climatology 1981-2010 from SOURCES: the IRI/LDEO collection of climate data.Independent Variables (Grids)
- Time
- grid: /T (days since 1981-01-01) (365) periodic [ (0304 16 Jan) (0304 16 Jan) (2104 5 Feb - 1800 15 Feb) (1800 15 Feb - 2400 24 Feb) (0000 25 Feb) (0000 25 Feb) (0000 25 Feb - 0600 6 Mar) (0600 6 Mar - 0304 16 Mar) (2104 5 Apr - 2400 15 Apr) (0000 16 Apr) (0000 16 Apr) (16-25 Apr) (26 Apr - 5 May) (0000 6 May - 0304 16 May) (2104 5 Jun - 2400 15 Jun) (0000 16 Jun) (0000 16 Jun) (16-25 Jun) (26 Jun - 5 Jul) (0000 6 Jul - 0304 16 Jul) (2104 5 Aug) (2104 5 Aug) (2104 5 Aug - 0304 16 Aug) (2104 5 Sep - 2400 15 Sep) (0000 16 Sep) (0000 16 Sep) (16-25 Sep) (26 Sep - 5 Oct) (0000 6 Oct - 0304 16 Oct) (2104 5 Nov - 2400 15 Nov) (0000 16 Nov) (0000 16 Nov) (16-25 Nov) (26 Nov - 5 Dec) (0000 6 Dec - 0304 16 Dec) (0304 16 Jan)] :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (2.925S) to (1.0875S) by 0.03750001 N= 50 pts :grid
Other Info
- CE
- null
- colorscalename
- cmorph_dekad_colors
- CS
- null
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- 7.67529625250266×10-12 meter radian-1 north second-2
- history
- $partialdiff sub T$ root mean sq anom $partialdiff sub T$ $partialdiff sub Y$ [ Rwanda Dekad climatologies rfe ]
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over X[28.5375E, 30.975E] minimum 0.0% data present
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Last updated: Wed, 26 Jun 2024 16:53:08 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| T | Y | |
 $partialdiff sub T$ root mean sq anom $partialdiff sub T$ $partialdiff sub Y$ [ Rwanda Dekad climatologies rfe ] [ Y | T] | M | M |
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Filters
Here are some filters that are useful for manipulating data. There are actually many more available, but they have to be entered manually. See Ingrid Function Documentation for more information.- Monthly Climatology calculates a monthly climatology by averaging over all years.
- anomalies calculates the difference between the (above) monthly climatology and the original data.
- Integrate along Y T
- Differentiate along Y T
- Take differences along Y T
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |
Note on units